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96
Voted
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 1 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
93
Voted
ITS
2000
Springer
140views Multimedia» more  ITS 2000»
15 years 1 months ago
Multi-agent Negotiation to Support an Economy for Online Help and Tutoring
We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
Chhaya Mudgal, Julita Vassileva
104
Voted
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
77
Voted
PG
2000
IEEE
15 years 1 months ago
Progressive Geometry Compression for Meshes
A novel progressive geometry compression scheme is presented in the paper. In this scheme a mesh is represented as a base mesh followed by some groups of vertex split operations us...
Xinguo Liu, Hujun Bao, Qunsheng Peng, Pheng-Ann He...
111
Voted
ECOOP
1995
Springer
15 years 1 months ago
Optimization of Object-Oriented Programs Using Static Class Hierarchy Analysis
Optimizing compilers for object-oriented languages apply static class analysis and other techniques to try to deduce precise information about the possible classes of the receivers...
Jeffrey Dean, David Grove, Craig Chambers